Y.S. Yao, P. Burlina, and R. Chellappa. Stabilization of images acquired by unmanned ground vehicles. In Proc. of ARPA Image Understanding Workshop, Palm Springs, CA, February 1996, pp. 687--694. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
RSTA on the Move: Detection and Tracking of Moving Objects from an .. - Davis (1996) (2 citations) (Correct)
....detection rates were quite significant. Figure 12: Typical image from a real FLIR sequence. 3. 2 3D Model Based Image Stabilization University of Maryland We have studied the use of combined visual cues and dynamic models for the stabilization of calibrated or uncalibrated image sequences [19]. Parameters relevant to image warping are estimated by combining information from different tracked tokens, namely points and horizon lines. These parameters are simply the 31 camera rotational velocity if intrinsic camera parameters are available, or the projectivity coefficients, in the ....
Y.S. Yao, P. Burlina, and R. Chellappa. Stabilization of images acquired by unmanned ground vehicles. In Proc. of ARPA Image Understanding Workshop, Palm Springs, CA, February 1996, pp. 687--694.
RSTA on the Move: Detection and Tracking of Moving Objects.. - Davis, Bajcsy, al. (1996) (2 citations) (Correct)
....detection rates were quite significant. Figure 7: Typical image from a real FLIR sequence. 3. 2 3D Model Based Image Stabilization University of Maryland We have studied the use of combined visual cues and dynamic models for the stabilization of calibrated or uncalibrated image sequences [ Yao et al. 1996 ] Parameters relevant to image warping are estimated by combining information from different tracked tokens, namely points and horizon lines. These parameters are simply the camera rota tional velocity if intrinsic camera parameters are available, or the projectivity coefficients, in the ....
Y.S. Yao, P. Burlina, and R. Chellappa. Stabilization of images acquired by unmanned ground vehicles. In these Proceedings.
RSTA on the Move: Detection and Tracking of Moving Objects from .. - Larry Davis (1996) (2 citations) (Correct)
....detection rates were quite significant. Figure 6: Typical image from a real FLIR sequence. 3. 2 3D Model Based Image Stabilization University of Maryland We have studied the use of combined visual cues and dynamic models for the stabilization of calibrated or uncalibrated image sequences [ Yao et al. 1996 ] Parameters relevant to image warping are estimated by combining information from different tracked tokens, namely points and horizon lines. These parameters are simply the camera rotational velocity if intrinsic camera parameters are available, or the projectivity coefficients, in the ....
Y.S. Yao, P. Burlina, and R. Chellappa. Stabilization of images acquired by unmanned ground vehicles. In these Proceedings.
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